{"id":"https://openalex.org/W2062680734","doi":"https://doi.org/10.1109/iscas.2013.6571832","title":"Multiple description coding with randomly offset quantizers","display_name":"Multiple description coding with randomly offset quantizers","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2062680734","doi":"https://doi.org/10.1109/iscas.2013.6571832","mag":"2062680734"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2013.6571832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2013.6571832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113912579","display_name":"Lili Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Meng","raw_affiliation_strings":["[Institute of Information Science, Beijing JiaoTong University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Institute of Information Science, Beijing JiaoTong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108166775","display_name":"Jie Liang","orcid":"https://orcid.org/0000-0003-3003-4343"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jie Liang","raw_affiliation_strings":["School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada","Sch. of Eng. Sci., Simon Fraser Univ. Burnaby, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Sch. of Eng. Sci., Simon Fraser Univ. Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012316778","display_name":"Upul Samarawickrama","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Upul Samarawickrama","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA","Microsoft Corporation Redmond,WA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Corporation Redmond,WA,USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009318707","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0001-9370-7934"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","[Institute of Information Science, Beijing JiaoTong University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"[Institute of Information Science, Beijing JiaoTong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030238978","display_name":"Huihui Bai","orcid":"https://orcid.org/0000-0002-3879-8957"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihui Bai","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","[Institute of Information Science, Beijing JiaoTong University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"[Institute of Information Science, Beijing JiaoTong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062850220","display_name":"Andr\u00e9 Kaup","orcid":"https://orcid.org/0000-0002-0929-5074"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andre Kaup","raw_affiliation_strings":["University of Erlangen-Nuremberg, Erlangen, Germany","University of Erlangen - Nuremberg, Erlangen, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Erlangen-Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"University of Erlangen - Nuremberg, Erlangen, Germany#TAB#","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"261","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7787809371948242},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6158789396286011},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6057407259941101},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.5649921894073486},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.562025785446167},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5160917639732361},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5122737288475037},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.4608151316642761},{"id":"https://openalex.org/keywords/trellis-quantization","display_name":"Trellis quantization","score":0.46057605743408203},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.41979220509529114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4147266149520874},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3314632773399353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.294644296169281},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.282612681388855},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28126755356788635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16429558396339417},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.14091593027114868},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09835359454154968}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7787809371948242},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6158789396286011},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6057407259941101},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.5649921894073486},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.562025785446167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5160917639732361},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5122737288475037},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.4608151316642761},{"id":"https://openalex.org/C5317259","wikidata":"https://www.wikidata.org/wiki/Q4462361","display_name":"Trellis quantization","level":5,"score":0.46057605743408203},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.41979220509529114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4147266149520874},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3314632773399353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.294644296169281},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.282612681388855},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28126755356788635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16429558396339417},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.14091593027114868},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09835359454154968},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2013.6571832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2013.6571832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2024179661","https://openalex.org/W2036965494","https://openalex.org/W2069937849","https://openalex.org/W2074465977","https://openalex.org/W2079514273","https://openalex.org/W2088433481","https://openalex.org/W2095715309","https://openalex.org/W2096102601","https://openalex.org/W2118178348","https://openalex.org/W2132330780","https://openalex.org/W2142302988","https://openalex.org/W2168052915","https://openalex.org/W3103265152"],"related_works":["https://openalex.org/W2146506178","https://openalex.org/W1606642682","https://openalex.org/W2126453694","https://openalex.org/W2013826620","https://openalex.org/W2154651298","https://openalex.org/W2068397735","https://openalex.org/W1706111048","https://openalex.org/W3127469205","https://openalex.org/W1666618243","https://openalex.org/W4232796001"],"abstract_inverted_index":{"A":[0],"multiple":[1],"description":[2,15],"coding":[3],"scheme":[4,89,103,118],"based":[5],"on":[6],"prediction-induced":[7],"randomly":[8,52],"offset":[9],"quantizers":[10],"is":[11,60,85,90,104],"proposed,":[12],"where":[13],"each":[14,55],"encodes":[16],"one":[17],"source":[18],"subset":[19],"with":[20,31,54],"a":[21,32,44],"small":[22],"quantization":[23,34,41,69,76],"stepsize,":[24],"and":[25,99],"other":[26,123],"subsets":[27],"are":[28,51],"predictively":[29],"coded":[30],"large":[33],"stepsize.":[35],"Due":[36],"to":[37,47,93,106],"the":[38,40,64,72,78,82,108,116],"prediction,":[39],"bins":[42],"that":[43,115],"coefficient":[45],"belongs":[46],"in":[48,125],"different":[49],"descriptions":[50],"overlapped":[53],"others.":[56],"The":[57,87],"optimal":[58,109],"reconstruction":[59],"obtained":[61],"by":[62],"finding":[63],"intersection":[65],"of":[66,81],"all":[67],"received":[68],"bins.":[70],"Using":[71],"recently":[73],"developed":[74,105],"random":[75],"theory,":[77],"closed-form":[79],"expression":[80],"expected":[83],"distortion":[84],"obtained.":[86],"proposed":[88,117],"then":[91],"applied":[92],"lapped":[94,110],"transform-based":[95],"multiple-description":[96],"image":[97],"coding,":[98],"an":[100],"iterative":[101],"optimization":[102],"find":[107],"transform.":[111],"Experimental":[112],"results":[113],"show":[114],"achieves":[119],"better":[120],"performance":[121],"than":[122],"methods":[124],"this":[126],"category.":[127]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
